code: def __init__(self, img_folder, ann_file, transforms):
      super().__init__(img_folder, ann_file)
      self._transforms = transforms
  
file_path: vision/references/detection/coco_utils.py
imports: import os
  import torch
  import torch.utils.data
  import torchvision
  import transforms
  from pycocotools import mask
  from pycocotools.coco import COCO
label_desc: Use image node_id 1 to create a new CocoDetection object from inherited base classes: torchvision.datasets with example: obj = CocoDetection(img_folder, ann_file, transforms)